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Premium Academy intermediate AI Engineering

Vibe Coding & AI-Assisted Engineering

BUILD track: AI-assisted software engineering with professional controls — framing, verification, security, and human judgement. Not prompt tricks.

1 course 8–12 weeks 12 modules 36 lessons ~55 hours
View course & checkout See curriculum

Why builders choose this path

Structured curriculum

Week-by-week modules with lessons built for African builders shipping real products.

Assignments & projects

Practice work and capstone-style projects that prove skill — not just video watching.

Certificate on completion

Finish the path requirements and earn a verifiable Africoders Academy certificate.

Pay once · learn on your pace

Live Paystack checkout in NGN. Refund window applies per course commercial terms.

What you’ll walk away with

Outcomes from the lead course in this track — the skills and proof you can show employers and clients.

  • Frame software problems into problem statements, constraints, and non-goals before prompting any AI assistant
  • Produce specifications and acceptance criteria that constrain AI-assisted implementation
  • Assemble relevant repository context (files, contracts, conventions) without dumping secrets or noise
  • Use AI to implement small, maintainable, reversible changes that follow project conventions
  • Critically review AI-generated code for correctness, architecture fit, and hidden assumptions — including rejecting bad output
  • Verify AI-assisted work with appropriate automated tests and refuse untested merges

Courses in this path

Open a course for the full syllabus, preview lessons, and Paystack checkout.

Vibe Coding: AI-Assisted Software Development for Professional Engineers cover
Intermediate Premium Academy

Vibe Coding: AI-Assisted Software Development for Professional Engineers

DRAFT PLACEHOLDER PRICING — not a live purchasable SKU while unpublished. **Vibe Coding: AI-Assisted Software Development for Professional Engineers** teaches AI-assisted engineering **with professional controls**. You w...

12 modules 36 lessons 55 hours By Africoders

₦65,000

Premium Academy · NGN

Course details Log in to buy

Curriculum preview

Syllabus from Vibe Coding: AI-Assisted Software Development for Professional Engineers. Open the course page for previews, assignments, and checkout.

Week 1: The New Engineering Workflow

3 lessons
  • What AI-assisted development changes (and what it does not) Preview 28m
  • Hallucination, confident wrongness, and the verification mindset 30m
  • Human responsibility when AI accelerates implementation 28m

Week 2: Problem Framing Before Prompting

3 lessons
  • Requirements, constraints, and non-goals under AI acceleration 30m
  • Acceptance criteria and edge cases that constrain AI output 32m
  • Why bad specifications produce bad AI output 28m

Week 3: Prompting as Engineering Communication

3 lessons
  • Structured prompts: task, context, constraints, expected output 30m
  • Iterative prompting, decomposition, and exposing assumptions 30m
  • Avoiding gimmicky “magic prompts” 28m

Week 4: Giving AI the Right Context

3 lessons
  • Repository context: files, contracts, conventions, tests 32m
  • Architecture and API/schema context without dumping secrets 30m
  • Context drift vs “more text” 28m

Week 5: AI-Assisted Implementation

3 lessons
  • Small, reviewable, reversible changes 30m
  • Feature slices, boilerplate, and explaining existing code 28m
  • Avoiding giant generated rewrites 28m

Week 6: Reviewing AI-Generated Code

3 lessons
  • Correctness, contracts, and “looks right” vs “is right” 32m
  • Maintainability, hidden assumptions, and over-engineering 30m
  • Practicing rejection: finding and refusing bad AI output 34m

Week 7: Testing AI Output

3 lessons
  • Tests as verification — not rubber stamps 30m
  • Unit, integration, boundary, and negative cases for AI-touched code 32m
  • Reviewing AI-generated tests (and why they can lie) 30m

Week 8: Debugging With AI

3 lessons
  • The professional debugging loop (observe→reproduce→isolate→hypothesis→evidence→verify) 32m
  • Asking AI targeted questions without outsourcing diagnosis 30m
  • When AI proposes the WRONG diagnosis — catching and documenting it 34m

+ 4 more modules — see full syllabus

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₦65,000

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